Amir-massoud Farahmand
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | A Truncated Newton Method for Optimal Transport. | Mete Kemertas, Amir-massoud Farahmand, Allan Douglas Jepson |
| 2025 | ICLR | MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. | Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski |
| 2025 | ICML | Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics. | Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A. Erdogdu, Amir-massoud Farahmand |
| 2025 | ICML | PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. | Avery Ma, Yangchen Pan, Amir-massoud Farahmand |
| 2025 | ICML | Calibrated Value-Aware Model Learning with Probabilistic Environment Models. | Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand |
| 2024 | ECCV | Improving Adversarial Transferability via Model Alignment. | Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu |
| 2024 | ICLR | Maximum Entropy Model Correction in Reinforcement Learning. | Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand |
| 2022 | ICLR | Learning Object-Oriented Dynamics for Planning from Text. | Guiliang Liu, Ashutosh Adhikari, Amir-massoud Farahmand, Pascal Poupart |
| 2022 | ICLR | Value Gradient weighted Model-Based Reinforcement Learning. | Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand |
| 2022 | UAI | Understanding and mitigating the limitations of prioritized experience replay. | Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo |
| 2020 | ICLR | Frequency-based Search-control in Dyna. | Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand |
| 2019 | ICLR | Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. | Marc T. Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel |
| 2019 | IJCAI | Hill Climbing on Value Estimates for Search-control in Dyna. | Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White |
| 2019 | MICCAI | Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning. | Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid |
| 2018 | ICML | Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. | Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski |
| 2016 | AAAI | Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value. | Amir-massoud Farahmand, Daniel Nikolaev Nikovski, Yuji Igarashi, Hiroki Konaka |
| 2015 | AAAI | Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions. | De-An Huang, Amir-massoud Farahmand, Kris M. Kitani, James Andrew Bagnell |
| 2014 | ICML | Sample-based approximate regularization. | Philip Bachman, Amir-massoud Farahmand, Doina Precup |